skills.rest
michsindlinger
michsindlingerCOMMUNITY
Explore all skills by this author →
GitHub

data-analysis

Analyzes user behavior and product metrics for decision-making, including cohort/funnel analysis and A/B testing.

1|Updated Aug 10, 2025
Search Tags:#A/B testing#data analysis#hypothesis testing#KPIs#product owner#product analytics#user metrics
One-click install
npx skills add https://github.com/michsindlinger/agent-os-extended --skill data-analysis-michsindlinger
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/michsindlinger/agent-os-extended/tree/main/agent-os/templates/skills/dev-team/po/data-analysis
Command: npx skills add https://github.com/michsindlinger/agent-os-extended --skill data-analysis-michsindlinger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers Product Owners to deeply understand user behavior, interpret complex product metrics, and make data-backed decisions to drive product strategy and prioritization.

Core Features & Use Cases

  • Metrics Analysis: Analyze key metrics across acquisition, activation, retention, referral, and revenue using frameworks like AARRR.
  • Hypothesis Validation: Formulate and test product hypotheses using A/B testing and cohort analysis.
  • Use Case: A Product Owner can use this skill to analyze why a new feature's adoption rate is lower than expected by examining user funnels and segmenting user behavior, then propose data-driven improvements.

Quick Start

Analyze user retention trends for the last quarter using cohort analysis.

Frequently Asked Questions about data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze user behavior to understand why feature adoption is low?▼

Analyze user behavior by examining user funnels and segmenting user behavior to identify drop-off points. This approach validates why a new feature's adoption rate is lower than expected and helps propose data-driven improvements.

What is the best way to track AARRR metrics for product analytics?▼

Track AARRR metrics by analyzing key data points across acquisition, activation, retention, referral, and revenue. This framework provides comprehensive product insights for tracking KPIs and interpreting complex product metrics.

How do I validate product hypotheses using cohort analysis and A/B testing?▼

Validate product hypotheses by formulating tests using A/B testing and cohort analysis. This method supports data-backed decision-making to drive product strategy and prioritization by testing assumptions against actual user metrics.

Can I integrate product analytics with existing data warehouses and analytics platforms?▼

Yes, product analytics integrates with analytics platforms and data warehouses. This integration supports comprehensive product insights by combining event tracking strategy and KPI tracking with your existing data infrastructure.

How do I perform cohort analysis to analyze user retention trends for the last quarter?▼

Perform cohort analysis by grouping users based on their acquisition time to track retention trends over the last quarter. This technique interprets user metrics to reveal retention patterns and inform product decisions.

Related Skills

Explore More Product & Management Skills→
daffy0208daffy0208
34

product-analytics

Implement product analytics event tracking, funnels, cohorts, and metrics.

Community
Intermediate
oteroweboteroweb

owf-role-product-owner

Translate strategy into prioritized product backlogs and roadmap documents.

Community
Intermediate
vibecodevibecode
1

Amplitude

Query Amplitude analytics data and manage charts via the amp CLI.

Official
Advanced
ncklrsncklrs
40

product-analyst

Design product analytics frameworks for SaaS and digital products.

Community
Advanced